The Master's degree in Applied Information and Data Science requires students to earn 120 credits under the European Credit Transfer System (ECTS). At Lucerne University of Applied Sciences and Arts, a credit generally equals 30 hours of coursework, which includes attending classes, studying individually, writing term papers and taking exams.
Language of instruction
Teaching language is English, there are only a few German-language modules. However, students are allowed to take the module exam in either German or English, regardless of the module’s language of instruction.
The first semester includes introductory courses on the important basic principles of applied data science, such as computer science, Python, statistics and experimental design. Students without a documented background in these areas must complete the respective preparatory modules, which count as part of the coursework.
In principle, students must complete the required modules for their field; however, exemptions may be granted for those who can document having completed such coursework previously.
Core elective modules
Students must choose a certain number of core electives from a prescribed set of topics. These modules then enable them to create an individual profile.
By completing the Master’s Thesis, students demonstrate their ability to manage a real-life data project by doing thorough research and meeting high professional standards. The programme encourages and supports students in working closely with industry partners, and the Master's Thesis (incl. preliminary study) therefore is an integral part of the programme.
Earn up to 120 ECTS credits with flexible modules
The Master’s programme consists of required modules, including the Master’s Thesis (69 ECTS credits) and core elective modules in three areas (51 ECTS credits). The core elective modules enable students to develop their profile more closely in line with a specific business, technology or analytical area.
Course catalogue for students who started their studies at the latest in autumn semester 2019
Course catalogue for students who started their studies at the earliest in spring semester 2020